Therapist-built | AI-refined | Patent pending
active 1 month after install.
Similarweb, 2023
say apps match them well.
MeasuringU, 2024
can’t find a good connection.
Forbes Health, 2024
High-volume, low-quality Matches → Burdened users churn!
** All stats and glossary available in the Detailed Addendum.
Revenue decline.
Match Group Q4 2025 earnings
Revenue decline.
Bumble Inc. 2025 10-K, SEC
Revenue growth.
Match Group Q4 2025 earnings
But even apps like Hinge are still matching on a flawed premise…
*Actual "compatibility" questions from real dating apps.
Shared love for biking tells you nothing about how they handle a flat together.
Our weighted mapping and scoring layer algorithm are our IP & Moat.
* Proprietary Harmonic Mean explained in the Detailed Addendum.
AI trained on vanity amplifies broken algorithms.
Trained on what actually lasted.
They use AI to predict swipes. We use it to make the algorithm smarter.
Tinder's co-founder admitted the swipe was modeled on B.F. Skinner's slot machine.
A 2024 federal class action alleged Match Group designed its apps for addiction, not connection.
Reported by NPR · CBS · ReutersFirst ever feature to go beyond Yes and No. An option designed to fight Ghosting from impulsive swiping.
Apps use swipes to feed dopamine loops. The Maybe feature breaks it.
Business of Apps, 2026; IBISWorld, 2026
Category: Similarweb, 2023. Quirks: internal M18 target, not actual.
All dating apps lose users. Better matches keep them longer, convert more to paid, and win any potential return trips.
| YR 1 | YR 2 | YR 3 | YR 4 | YR 5 | |
|---|---|---|---|---|---|
| Cities | 2 | 15 | 40 | 52 | 64 |
| MAU | 30K | 255K | 1.1M | 2.3M | 3.1M |
| Paying Users | Free growth | Free growth | 34K | 164K | 263K |
| Revenue | – | – | $3.1M | $32.5M | $83.9M |
| Expenses | $1.8M | $7.8M | $17.8M | $34.4M | $54.9M |
| EBITDA | ($1.8M) | ($7.8M) | ($14.7M) | ($1.9M) | $29.0M |
Illustrative projections from the internal summary model. Full model and assumptions available on request.
Monetization scales with a network users already trust.
Modeled on existing dating app scaling structure.
The Acquisition Engine. A no-friction entry point designed for rapid user growth and proprietary data gathering.
The Revenue Core. Our primary conversion point, monetizing active users through essential feature upgrades.
The LTV Flagship. A high-margin tier leveraging AI-driven engagement and advanced trait filtering.
One-time Optional Add-Ons: 1-day Profile Boost: $2.99 | Extra "Maybe"** slot: $1.49 each | AI-Driven Quirks's Resonant Opener** message: $0.99
** Glossary in Detailed Addendum
Competitors use dynamic pricing. General ranges: Tinder: $24.99 to $49.99 | Bumble: $16.99 to $80.99 | Hinge: $32.99 to $49.99
15+ years leading consumer mobile app and eCommerce projects at global companies. Founded Boulder MarKit, helping small, niche-industry businesses grow and reach their audiences effectively. Owns client-side development. Brings full-stack operator DNA, product, marketing, and execution, to Quirks.
Built Quirks after experiencing broken matching firsthand, and watching a generation learn to date through apps designed for addiction.
30+ years of revenue and go-to-market leadership across technology companies. Guides Quirks' two-city GTM plan, channel economics, and the path from beachhead density to Series A proof points. Core strengths are linking acquisition, activation, and retention into one accountable system.
Experienced in Mergers & Acquisitions diligence, Jim joined Quirks to spearhead the next shift in mobile dating.
15+ years building full-stack systems across startups and scale-ups. He is a former CTO in the FinTech sector and has led IT and development teams for consumer-facing apps and frontier industrial tech companies, with a background in AI/ML.
Though he met his wife on a dating app, he waded through fake profiles and poor matches to find her. Joined Quirks because he knows firsthand the technology can do better.
Built in collaboration with licensed therapists